Gene activity predicts progression of autoimmune disease

Stanford researchers and their collaborators have found a way to tell whether patients with systemic sclerosis were improving during drug treatment a year before a standard clinical test could.

Scleroderma is an autoimmune disease that causes scarlike thickening of the skin and internal organs. It can cause skin lesions like those pictured above.
Wikimedia Commons

Researchers at the Stanford University School of Medicine and six other institutions have designed a new diagnostic tool for a rare and deadly autoimmune disease that affects the skin and internal organs.

By measuring the activity of genes in tiny skin samples, the researchers were able to predict disease progression in patients as much as a year earlier than clinicians who used standard methods for evaluating patients.

The study was published Dec. 22 in JCI Insight. The lead authors are Shane Lofgren, a research associate at Stanford, and Monique Hinchcliff, MD, associate professor of medicine at Northwestern University. The senior author is Purvesh Khatri, PhD, assistant professor of medicine at Stanford.

Systemic sclerosis, also called scleroderma, is an autoimmune disease that causes scarlike thickening of the skin and internal organs, such as the kidneys and lungs. According to Hinchcliff, systemic sclerosis affects about 100,000 people in the United States.

A better test

The cause of systemic sclerosis is unknown, and there are no drugs approved by the Food and Drug Administration for treating it. Many patients are given drugs that are approved for use in other diseases, but each drug is clinically effective in only a fraction of patients.

To find out if a patient is responding to treatment, clinicians use a test called the modified Rodnan skin score, in which a doctor pinches the skin to see how thick it is. For the test, the physician squeezes the patient’s skin in 17 places, rating the thickness of each pinch of skin on a scale of 0 to 3 and adding the scores together for a maximum score of 51.

“It’s a very crude measure,” Khatri said. He noted that despite careful training, doctors may give the same patient different scores, depending, for example, on the patient’s body-mass index.

Different physicians evaluating the same patients may agree only 60 to 70 percent of the time, Hinchcliff said. “It has always embarrassed me to pinch a patient’s skin in 17 areas to try and accurately assess the degree of skin fibrosis. In this day and age, it would seem we should be more precise,” she said.

Purvesh Khatri and his colleagues have developed a new tool that can help determine the progression of scleroderma and how well a patient is responding to treatment. 
Norbert von der Groeben

Because the measures of disease progression are imprecise, said Khatri, it can take two years for physicians to be sure if a given treatment is having any effect. A more precise measure of disease progression has long been needed.

The team used publicly available patient data shared by hospitals across the United States to search for a set of genes whose activity would mark the progression of systemic sclerosis, or SSc.

Gene expression is the process by which cells extract information from genes and render it as molecules of protein or RNA. Cells have the capacity to express more or less of each molecule, creating a pattern of expression that changes according to the presence of infections or of autoimmune diseases such as SSc. Khatri and his team identified 415 genes whose expression changed in a pattern that indicated how serious a person’s SSc had become. The researchers were able to use these gene-expression patterns as the basis for a test, which they called the SSc Skin Severity Score, or 4S. They used SSc patient data from two clinical centers to identify the 415 genes, and data sets from patients from five additional centers to validate the new test. They also included data from healthy participants who served as controls.

It was easy to distinguish the gene-expression data related to healthy skin samples from the data for diseased skin samples, said Khatri. “The data for all the healthy skin fell within one bubble,” he said, “while all the data for the scleroderma patients fell within another.”

Getting results a year earlier

The team looked at data from a cohort of Northwestern University patients who had been tested repeatedly with the skin pinch test while being treated with a drug. The 4S test — applied to this preexisting set of patient data — could distinguish patients who were improving from those who were not 12 months after their treatment began. In contrast, the doctors’ skin pinch test from the same set of data took 24 months to identify which patients were improving.

What was really cool was that we could predict on an individual level which patients would get better or worse.

“In the data from Northwestern, all the patients were getting exactly the same treatment, the same drug,” said Shane. “Yet we were able to predict a year before the clinician which patients were getting better and which were getting worse.” 

Clinical trials, as opposed to retrospective studies looking at pre-existing data, are needed to validate the 4S test, the researchers said. But if it works as well as Khatri and his collaborators hope, clinicians may be able to evaluate patients’ response to treatments much more quickly, so they can be switched to some other treatment that may work. The test could also help advance the search for better therapies.

“And what was really cool was that we could predict on an individual level which patients would get better or worse,” Khatri said.

The 4S test is an example of Stanford Medicine’s focus on precision health, the goal of which is to anticipate and prevent disease in the healthy and precisely diagnose and treat disease in the ill.

A possible treatment?

The study also uncovered a gene-activity signal suggesting the involvement of epidermal growth factor receptors in the disease, a fact that was previously unknown, said Khatri. EGFR is important in cell division and plays a role in cancer and other diseases. In SSc, “we showed that EGFR is consistently upregulated,” Khatri said. And, he added, drugs that have been approved by the FDA for treating EGFR-related conditions may turn out to be useful in treating patients with systemic sclerosis.

Soon, he added, his team will begin giving EGFR-inhibiting drugs to mice with a sclerodermalike condition to see if it helps.

“It’s very exciting,” said Khatri. “This is a disease that has stumped people for more than 25 years.”

Other Stanford co-authors are professor of dermatology David Fiorentino, MD, PhD; professor of medicine Paul Utz, MD; associate professor of medicine Lorinda Chung, MD; postdoctoral scholars Peggie Cheung, PhD, and Alex Kuo, PhD; and rheumatology fellow Antonia Valenzuela, MD.

In addition to Northwestern, researchers at the following institutions also contributed to the study: Dartmouth College, the University of California-San Francisco, the Hospital for Special Surgery, the University of Texas Health Science Center and the Veterans Affairs Palo Alto Health Care System.

The research was supported by the National Institutes of Health (grants 1U19AI109662, U19AI057229, U54I117925, U01AI089859, 1R21AR068035 and K23AR059763), the Bill and Melinda Gates Foundation and the Scleroderma Research Foundation.

Stanford’s Department of Medicine also supported the work.



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